Solutions Architect - AI Lab

SHI International Corp.; Piscataway Township (NJ); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

401(k)

Flexible spending accounts

Job summary

SHI International Corp. is seeking a Solutions Architect for the AI Lab to design scalable AI-focused solutions and enable SHI teams with reference architectures and guidance. You will collaborate with AI Lab leadership, PMO, engineering, and partner teams to mature capabilities and standardize offerings.

You will translate business needs into practical lab architectures, contribute to documentation, and ensure readiness for execution across internal SHI teams and customer engagements.

Qualifications

• Expert knowledge of Linux, Kubernetes, and orchestration.
• Knowledge of AI infrastructure, networking, and storage.
• Ability to design data center infrastructures including hybrid cloud and SDDC, IaaS/PaaS, automation, and containerization.
• Strong knowledge of virtualization technologies and software-defined data centers.
• Ability to communicate and sell complex technical products by understanding customer needs.
• Experience with major enterprise tech stacks (Dell, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, Nutanix).
• Experience with Disaster Recovery, Business Continuity, and High Availability solutions.

Responsibilities

• Design scalable AI Lab solution architectures aligned with SHI offerings and client use cases.
• Develop internal enablement content, reference architectures, solution briefs, and field guidance materials.
• Create and maintain solution documentation, BOMs, design assumptions, and SOW inputs for AI Lab solutions.
• Collaborate across AI Lab, PMO, Product, Sales Enablement, Engineering, and Partner Development.
• Support evaluation of AI ecosystem partners, platforms, and infrastructure components.
• Help establish repeatable standards, templates, governance, and packaging for AI Lab offerings.
• Provide technical guidance on AI infrastructure, data center architecture, and deployment considerations.
• Support intake, scoping, and handoff processes to ensure opportunities are execution-ready.

Skills

Linux/Kubernetes

AI infrastructure

Data center architecture

SDDC & hybrid cloud

Virtualization

Cloud platforms (Azure/AWS)

Disaster Recovery/BC/HA

Tools

Dell Technologies

NetApp

HPE

Cisco

Pure Storage

Azure

AWS

Veeam

Nutanix

Job description

Job Summary

The Solutions Architect for the AI Lab will support the internal development, evaluation, and operationalization of AI-focused solutions across Advanced Growth Technologies. This role will serve as a technical advisor and hands‑on solution designer for AI solutions, helping translate business needs into scalable lab offerings, repeatable architectures, and practical enablement materials for SHI teams, while implementing these solutions within the SHI AI Lab.

This position will partner closely with AI Lab leadership, PMO, engineering, and partner teams to define and deploy solutions, document technical designs, and help mature AI Lab capabilities. The role is internally focused, with an emphasis on solution standardization, technical readiness, partner alignment, and enabling SHI teams to confidently position and deliver AI Lab offerings.

Role Description

Internal Solution Design

• Design scalable AI Lab solution architectures that align with SHI offerings, customer use cases, partner capabilities, and internal delivery standards.

AI Lab Enablement

• Develop internal technical enablement content, reference architectures, solution briefs, and guidance materials that help sales, engineering, and delivery teams understand and position AI Lab offerings.

Technical Documentation

• Create and maintain solution documentation, technical requirements, Bills of Materials (BOMs), design assumptions, implementation handoff materials, and Statement of Work (SOW) inputs for AI Lab solutions.

Cross-Functional Collaboration

• Partner with AI Lab, PMO, Product Management, Sales Enablement, Engineering, and Partner Development teams to align solution design, readiness, and delivery expectations.

Partner and Technology Alignment

• Support evaluation of AI ecosystem partners, platforms, infrastructure components, and solution patterns to determine fit for AI Lab use cases.

Practice Development

• Help establish repeatable standards, templates, governance, and solution packaging that improve consistency, scalability, and quality across AI Lab offerings.

Technical Advisory

• Provide internal technical guidance on AI infrastructure, data center architecture, software platforms, deployment considerations, and emerging AI technology trends.

Operational Readiness

• Support intake, prioritization, solution scoping, and handoff processes to ensure AI Lab opportunities are clearly defined and ready for execution.

Behaviors and Competencies

• Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
• Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
• Documentation: Independently produces and maintains documentation for routine processes; ensures accuracy and consistency.
• Leadership: Can proactively seek out leadership roles, initiate team projects, and contribute to team development and success.
• Problem Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
• Teamwork: Can lead a team effectively, facilitate cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.
• Self‑Motivation: Can proactively seek out challenges, initiate self-development projects, and contribute to personal or professional innovative ideas.

Skill Level Requirements

• Expert knowledge of Linux, Kubernetes, and orchestration.
• Knowledge of AI infrastructure, networking, and storage.
• Ability to design data center infrastructures that include hybrid cloud, hyper‑converged, software‑defined data center (SDDC), Infrastructure/Platform as a Service (IaaS/PaaS), automation, containerization, and Data Center Management Platforms – Intermediate.
• Strong knowledge of virtualization technologies, hypervisors, server virtualization, Software Defined Data Center (SDDC), containerization, and automation – Intermediate.
• Ability to effectively communicate and sell complex technical products or services by understanding customer needs, articulating value propositions, and providing technical expertise to support the sales process – Intermediate.
• Expertise in mainstream technologies including Dell Technologies, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, and Nutanix – Intermediate.
• Experience with Disaster Recovery, Business Continuity, and High Availability Solutions (backup/recovery, data protection, mirroring, active/standby, active/active, clustering) – Intermediate.

Preferred Skills

• Certifications in NVIDIA (e.g., DGX Certified) or relevant vendor technologies.
• Experience in enterprise data center technologies and solutions.
• Knowledge and experience in data center power and cooling technologies.
• Familiarity with AI software stacks (e.g., TensorFlow, PyTorch, Kubernetes for AI).
• Experience with cloud‑hybrid AI deployments or large‑scale data center projects.
• Knowledge of the AI Factory concept, NCPs, and AI Cloud Providers.
• Strong problem‑solving skills and a customer‑centric mindset.

Other Requirements

• Experience in AI labs, data center environments, or advanced technology platforms.
• Strong self‑directed learning mindset with the ability to stay current in rapidly evolving AI, infrastructure, and platform ecosystems.
• Excellent communication, presentation, organizational, and time‑management skills.
• Willingness to work flexible schedules, including evenings and weekends, as project needs require.
• Ability to travel up to 15% for customer, partner, and industry engagements.
• Advanced certifications, published research, or a strong record of open‑source contributions in AI or related fields are a plus.

The estimated annual pay range for this position is $150,000 - $250,000, which includes a base salary and bonus. The compensation for this position is dependent on job‑related knowledge, skills, experience, and market location and therefore will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status